Computer-Aided Inspection Planning: A Multisensor High-Level Inspection Planning Strategy

2019 ◽  
Vol 19 (2) ◽  
Author(s):  
Sif Eddine Sadaoui ◽  
Charyar Mehdi-Souzani ◽  
Claire Lartigue
Keyword(s):  
Computer Aided Design ◽  
Main Concern ◽  
Laser Sensor ◽  
Inspection Planning ◽  
Research Attention ◽  
Computer Aided ◽  
Measuring Machine ◽  
High Level ◽  
Computer Aided Inspection ◽  
Touch Probe

Computer-aided inspection planning (CAIP) has gained significant research attention in the last years. So far, most CAIP systems have focused on the use of a touch probe mounted on a coordinate measuring machine (CMM). This article investigates multisensor measurement aiming to perform automatic and efficient inspection plans. High-level inspection planning, which deals with sequencing of measuring operations, is the main concern of inspection planning. This paper presents an automatic approach to generate inspection sequences by combining laser sensor and touch probe, and by giving preference to the measurement using the laser sensor if quality requirements are satisfied. The proposed approach consists of three steps. In the first step, recognition of inspection data from the computer-aided design (CAD) part model is carried out based on the concept of inspection feature (IF), and the extracted information is stored in a database. In the second step, a list of privileged scanner orientations is proposed by analyzing the accessibility of both sensors. In the third step, a sequence of operations is generated iteratively. For a given scanner orientation, the ability of the laser sensor is assessed according to an original process based on fuzzy logic model. If the laser sensor does not meet the ability requirements, touch probe ability is assessed. The proposed approach is implemented and tested on a part defined by its CAD model and specifications.

A computer-aided inspection planning system for on-machine measurement — part I: Global inspection planning —

2004 ◽  
Vol 18 (8) ◽  
pp. 1349-1357 ◽  
Author(s):  
Honghee Lee ◽  
Myeong-Woo Cho ◽  
Gil-Sang Yoon ◽  
Jin-Hwa Choi
Keyword(s):  
Planning System ◽  
Inspection Planning ◽  
Computer Aided ◽  
Computer Aided Inspection

scholarly journals A frame for a computer aided inspection planning system

2015 ◽  
Vol 4 (1) ◽  
pp. 125 ◽  
Author(s):  
Wilma Polini ◽  
Giovanni Moroni
Keyword(s):  
Measurement Techniques ◽  
Coordinate Measuring Machine ◽  
Planning System ◽  
Inspection Planning ◽  
Coordinate Measurement ◽  
Measurement Results ◽  
Measuring Machine ◽  
Set Up ◽  
Almost All ◽  
Computer Aided Inspection

Coordinate Measuring Machine (CMM) inspection planning is an activity performed by well-trained operators, but different measurement techniques, using the same data analysis algorithms yield in different measurement results. This is a well-recognized source of uncertainty in coordinate measurement. A CMM, provided with an automatic inspection planning (CAIP) system, permits to implement more accurate and efficient operating procedures and to fit higher quality assurance standards and tighter production timings.In this paper we present a frame of a CAIP system, able to deal with almost all the decisional stages of CMM inspection. Moreover, original approaches have been developed and presented in inspection feature selection, part set-up, probe configuration, and path planning.

Knowledge-based inspection planning

1992 ◽  
Vol 6 (3) ◽  
pp. 149-162 ◽  
Author(s):  
Huaming Lee ◽  
Jon Sims Williams ◽  
James Tannock
Keyword(s):  
Planning System ◽  
Automated Inspection ◽  
Inspection Planning ◽  
Knowledge Based ◽  
Computer Aided ◽  
Computer Aided Inspection

Inspection planning is a process of reasoning about inspection activities. As a result, a sequence of inspection actions is formulated, which, when performed, will achieve the desired measurements. In manufacturing, automated inspection technologies, such as Computer-Aided Inspection (CAI) or Co-ordinate Measuring Machines (CMMs), will be facilitated by inspection planning. Inspection planning involves the following four aspects: representation of inspection features; process formalization; modeling of inspection activities; and, finally, plan synthesis. This paper discusses an approach to knowledge-based inspection planning. Accordingly, a prototype inspection planning system has been developed, which is also described in this paper.

A computer-aided inspection planning system for on-machine measurement — Part II: Local inspection planning —

2004 ◽  
Vol 18 (8) ◽  
pp. 1358-1367 ◽  
Author(s):  
Myeong-Woo Cho ◽  
Honghee Lee ◽  
Gil-Sang Yoon ◽  
Jin-Hwa Choi
Keyword(s):  
Planning System ◽  
Inspection Planning ◽  
Computer Aided ◽  
Computer Aided Inspection

A Dual Environment for 3D Modeling With User-Defined Freeform Features

2009 ◽  
Vol 9 (2) ◽  
Author(s):  
Thomas R. Langerak ◽  
Joris S. M. Vergeest
Keyword(s):  
3D Modeling ◽  
Computer Aided Design ◽  
Target Surface ◽  
Feature Modeling ◽  
Dynamic Feature ◽  
Design Features ◽  
Computer Aided ◽  
Definition Of ◽  
High Level ◽  
Aided Design

Modeling with freeform features has become the standard in computer-aided design. Features offer a high-level approach to modeling shapes. However, in most commercial modeling packages, only a static set of freeform features is available. A new method for user-driven feature definition is presented, as well as a method to instantiate these user-defined features on a target surface. We propose the concept of a dual environment, in which the definition of a feature is maintained parallel to its instance on a target surface. This dual environment enables dynamic feature modeling, in which the user is able to change the definition of instantiated features on-the-fly.

scholarly journals Bias Evaluation of the Accuracy of Two Extraoral Scanners and an Intraoral Scanner Based on ADA Standards

Scanning ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Naiyu Cui ◽  
Jiayin Wang ◽  
Xingyu Hou ◽  
Shixun Sun ◽  
Qixuan Huang ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Rapid Development ◽  
Subsequent Treatment ◽  
National Standard ◽  
Mean Deviation ◽  
Intraoral Scanner ◽  
Point Matching ◽  
Three Samples ◽  
Computer Aided ◽  
Measuring Machine

The spread and application of computer-aided design/computer-aided manufacturing (CAD/CAM) technology have contributed to the rapid development of digitalization in dentistry. The accuracy of scan results is closely related to the devising subsequent treatment plans and outcomes. Professional standards for evaluating scanners are specified in the American National Standard/American Dental Association Standard 132 (ANSI/ADA No. 132). The aims of this study were to use the three samples mentioned in ANSI/ADA No. 132 and evaluate the accuracy and reproducibility of two extraoral scanners and an intraoral scanner based on the inspection standards recommended by ANSI/ADA No. 132. In this study, two trained operators used two extraoral scanners (E4, 3Shape, Denmark & SHINING DS100+, Shining, China) and an intraoral scanner (TRIOS SERIES3, 3Shape, Denmark) to perform 30 scans of each of the three samples at a temperature of 25 ± 2 ° C and export standard tessellation language files and used reverse engineering software to perform measurements and iterative nearest point matching experiments. The measured values obtained were compared with the reference values measured by a coordinate measuring machine (NC8107, Leader Metrology, USA). We performed a normal distribution test (Shapiro-Wilk test), the nonparametric Kruskal-Wallis test, and an independent-samples t -test to analyze the reproducibility of each scan for different models. The experimental results indicate that the trueness and precision of the two extraoral scanners and the intraoral scanner had a slight mean deviation. The trueness and precision of the three scanners on the curved surface and groove areas are poor. The accuracy and reproducibility of E4 outperformed SHINING and TRIOS. The iterative closest point matching experiment also showed good matching results. The two extraoral scanners and the intraoral scanner in this study can meet the basic clinical requirements in terms of accuracy, and we hope that digital technology will be more widely used in dentistry in the future.

Image formation simulation for computer-aided inspection planning of machine vision systems

2017 ◽  
Author(s):  
Stephan Irgenfried ◽  
Stephan Bergmann ◽  
Mahsa Mohammadikaji ◽  
Jürgen Beyerer ◽  
Carsten Dachsbacher ◽  
...  
Keyword(s):  
Machine Vision ◽  
Image Formation ◽  
Inspection Planning ◽  
Vision Systems ◽  
Computer Aided ◽  
Computer Aided Inspection

Study on On-Machine Inspection Technology of Machining Center Based

2010 ◽  
Vol 97-101 ◽  
pp. 4282-4286
Author(s):  
Shi Gang Wang ◽  
Yu Juan Wang ◽  
Yi Li Fu
Keyword(s):  
Good Condition ◽  
Machining Process ◽  
Inspection Planning ◽  
Feature Identification ◽  
Machining Center ◽  
Computer Aided ◽  
Inspection Process ◽  
Cad Cam ◽  
On Line ◽  
Computer Aided Inspection

With the development of digitalized manufacturing (DM), on-machine inspection (OMI) has become the key link of integrated quality system in DM. In DM, The detection and monitoring system chiefly dealing with kinds of parameters in machining process, taking on-line detection, analyzing the process quality information and carrying out corresponding quality assurance, so the quality of product may be assured and DM can be run in good condition. Therefore, the OMI technology of machining center based is researched. The framework of OMI and the hardware structure of special driving card for probe or tool (SDCPT) are described. Computer aided inspection planning (CAIP) is the integration bridge between CAD/CAM and computer aided inspection. A feature-based CAIP system for OMI is proposed to inspect the complicated mechanical parts efficiently during machining or after machining. The CAIP system is designed to produce an inspection process planning directly from CAD model. The prototype CAIP system includes the tolerance feature analysis, accessibility analysis, feature identification, measurement planning, and collision detection. The CAIP system can minimize the number of part setups and probe orientations and the inspection feature sequence.

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